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Data-Driven Fault Detection Methods for Jilin-1 Satellite Attitude Control System

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Proceedings of the 6th China High Resolution Earth Observation Conference (CHREOC 2019) (CHREOC 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 657))

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Abstract

This paper studies the data processing and fault detection methods of principal component analysis (PCA) and local linear embedding (LLE) for the Jilin-1 satellite telemetry data of attitude control system (ACS). Aiming at the problem that traditional data dimensionality reduction methods cannot extract key features of nonlinear multi-dimensional telemetry data, the two methods are applied to the feature extraction of ACS telemetry data of Jilin-1 satellite. Aiming at the problem that the time-varying and multi-scale of telemetry data in the Jilin-1 satellite mission mode leads to the failure rate of fault diagnosis. In combination with the statistical SPE and T2, design a data processing and fault detection method to obtain low-dimensional key features. Finally, two methods are verified by telemetry data in different mission modes of Jilin-1 satellite. The effectiveness of the two methods of remote sensing data mining method is compared. The results point out that the method can significantly improve the fault detection capability of ACS of Jilin-1 satellite.

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Acknowledgements

This work was financially supported by the Jilin Province Science and Technology Development Plan Project [29], number: 20170204069GX.

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Authors and Affiliations

  1. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, 130033, China

    Zhi Qu & Kai Xu

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Zhi Qu & Kai Xu

  3. Chang Guang Satellite Technology Co. LTD, Changchun, 130102, China

    Zhi Qu, Kai Xu, Yanhao Xie, Feng Li, Mengmeng Liu, Shuangxue Han, Jiebing Liu & Zhigang Chen

Authors
  1. Zhi Qu
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  2. Kai Xu
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  3. Yanhao Xie
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  4. Feng Li
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  5. Mengmeng Liu
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  6. Shuangxue Han
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  7. Jiebing Liu
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  8. Zhigang Chen
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Corresponding author

Correspondence to Kai Xu .

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Editors and Affiliations

  1. China Aerospace Science and Technology Corporation, Beijing, China

    Liheng Wang

  2. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

    Yirong Wu

  3. Wuhan University, Wuhan, China

    Jianya Gong

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Qu, Z. et al. (2020). Data-Driven Fault Detection Methods for Jilin-1 Satellite Attitude Control System. In: Wang, L., Wu, Y., Gong, J. (eds) Proceedings of the 6th China High Resolution Earth Observation Conference (CHREOC 2019). CHREOC 2019. Lecture Notes in Electrical Engineering, vol 657. Springer, Singapore. https://doi.org/10.1007/978-981-15-3947-3_34

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  • DOI: https://doi.org/10.1007/978-981-15-3947-3_34

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-3946-6

  • Online ISBN: 978-981-15-3947-3

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